Mobile robot control using 3D hand pose estimation

Kiyoshi Hoshino; Takuya Kasahara; Naoki Igo; Motomasa Tomida; Takanobu Tanimoto; Toshimitsu Mukai; Gilles Brossard; Hajime Kotani

doi:10.1117/12.890900

12 July 2011 Mobile robot control using 3D hand pose estimation

Kiyoshi Hoshino, Takuya Kasahara, Naoki Igo, Motomasa Tomida, Takanobu Tanimoto, Toshimitsu Mukai, Gilles Brossard, Hajime Kotani

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Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000I (2011) https://doi.org/10.1117/12.890900
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France

Abstract

We propose a mobile robot control method using 3D hand pose estimation without using sensors or controllers. The hand pose estimation we propose reduces the number of image features per data set, which makes the construction of a large-scale database possible, as well as estimation of the 3D hand poses of unspecified users with individual differences without sacrificing estimation accuracy. The system involves the construction in advance of a large database comprising three elements: hand joint information including the wrist, low-order proportional information on the hand images indicating the rough hand shape, and hand pose data comprised of low-order image features per data set.

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Kiyoshi Hoshino, Takuya Kasahara, Naoki Igo, Motomasa Tomida, Takanobu Tanimoto, Toshimitsu Mukai, Gilles Brossard, and Hajime Kotani "Mobile robot control using 3D hand pose estimation", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000I (12 July 2011); https://doi.org/10.1117/12.890900

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KEYWORDS

Databases

Cameras

Bone

RGB color model

Mobile robots

Data modeling

3D modeling

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